A nonlinear wake model of a wind turbine considering the yaw wake steering

Yunzhou LI; Zhiteng GAO; Shoutu LI; Suiping QI; Xiaoyu TANG

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A nonlinear wake model of a wind turbine considering the yaw wake steering

Physics | Updated：2024-10-14

- A nonlinear wake model of a wind turbine considering the yaw wake steering
- Journal of Oceanology and Limnology Vol. 42, Issue 3, Pages: 715-727(2024)
- Affiliations：
  
  1.College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
  2.Multi-function Towing Tank, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  3.School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
  4.Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266061, China
  5.State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
  6.Laoshan Laboratory, Qingdao 266237, China
- Author bio：
  
  lishoutu@lut.edu.cn
  qisp@qlu.edu.cn
- Funds：
- DOI：
  CLC：
- Received：23 March 2023，
  
  Online First：19 July 2023，
  
  Published：01 May 2024
- Accepted：
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LI Yunzhou,GAO Zhiteng,LI Shoutu,et al.A nonlinear wake model of a wind turbine considering the yaw wake steering[J].Journal of Oceanology and Limnology,2024,42(03):715-727.
DOI：

LI Yunzhou,GAO Zhiteng,LI Shoutu,et al.A nonlinear wake model of a wind turbine considering the yaw wake steering[J].Journal of Oceanology and Limnology,2024,42(03):715-727. DOI：

摘要

Abstract

Duo to fluctuations in atmospheric turbulence and yaw control strategies

wind turbines are often in a yaw state. To predict the far wake velocity field of wind turbines quickly and accurately

a wake velocity model was derived based on the method of momentum conservation considering the wake steering of the wind turbine under yaw conditions. To consider the shear effect of the vertical incoming wind direction

a two-dimensional Gaussian distribution function was introduced to model the velocity loss at different axial positions in the far wake region based on the assumption of nonlinear wake expansion. This work also developed a “prediction-correction” method to solve the wake velocity field

and the accuracy of the model results was verified in wake experiments on the Garrad Hassan wind turbine. Moreover

a 33-kW two-blade horizontal axis wind turbine was simulated using this method

and the results were compared with the classical wake model under the same parameters and the computational fluid dynamics (CFD) simulation results. The results show that the nonlinear wake model well reflected the influence of incoming flow shear and yaw wake steering in the wake velocity field. Finally

computation of the wake flow for the Horns Rev offshore wind farm with 80 wind turbines showed an error within 8% compared to the experimental values. The established wake model is less computationally intensive than other methods

has a faster calculation speed

and can be used for engineering calculations of the wake velocity in the far wakefield of wind turbines.

关键词

Keywords

references

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